Digital twins for resource optimization in multi-purpose ports: A design approach for data-driven decision making
Paper in proceeding, 2024
Multi-purpose ports' efficient and sustainable operation relies on seamless coordination and decision-making among multiple organizations. This paper underscores the critical importance of forecasting resource and infrastructure utilization for informed operational, tactical, and strategic decision-making. The proposed approach draws on digital twin technology to enable collaborative decision-making by modeling complex port environments to enable shared situational awareness among stakeholders. Illustrated through a collaborative project involving the RISE Research Institutes of Sweden, National University of Singapore, Grieg Connect, Umeå University, Kvarken Ports Umeå, and INAB, we propose a digital twin design to empower the port as a decision- maker in multi-organizational settings to proactively plan and optimize its utilization of present and future resources.
Author
Mathias Karlsson
RISE Research Institutes of Sweden
Umeå University
M. Liu
National University of Singapore (NUS)
H. Liz
National University of Singapore (NUS)
Sandra Haraldson
RISE Research Institutes of Sweden
Mikael Lind
Chalmers, Mechanics and Maritime Sciences (M2)
RISE Research Institutes of Sweden
M. Mishra
RISE Research Institutes of Sweden
Johan Sandberg
Umeå University
K. Lind
RISE Research Institutes of Sweden
Journal of Physics: Conference Series
17426588 (ISSN) 17426596 (eISSN)
Vol. 2867 012055
Joint Conference of the 2024 International Maritime and Port Technology and Development Conference, MTEC 2024 and the 6th International Conference on Maritime Autonomous Surface Ships, ICMASS 2024
Trondheim, Norway,
Trondheim, Norway,
Subject Categories (SSIF 2025)
Transport Systems and Logistics
DOI
10.1088/1742-6596/2867/1/012055